Autonomic Computing - Principles, Design and Implementation (Paperback, 2013 ed.)

This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Undergraduate Topics in Computer Science
Release date:	May 2013
First published:	2013
Authors:	Philippe Lalanda • Julie A. McCann • Ada Diaconescu
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	288
Edition:	2013 ed.
ISBN-13:	978-1-4471-5006-0
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4471-5006-6
Barcode:	9781447150060

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